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Proton NMR metabolic profiling of CSF reveals distinct differentiation of meningitis from negative controls.

Authors :
Chatterji T
Singh S
Sen M
Singh AK
Agarwal GR
Singh DK
Srivastava JK
Singh A
Srivastava RN
Roy R
Source :
Clinica chimica acta; international journal of clinical chemistry [Clin Chim Acta] 2017 Jun; Vol. 469, pp. 42-52. Date of Electronic Publication: 2017 Mar 15.
Publication Year :
2017

Abstract

Background: Cerebrospinal fluid (CSF) is an essential bio-fluid of the central nervous system (CNS), playing a vital role in the protection of CNS and performing neuronal function regulation. The chemical composition of CSF varies during onset of meningitis, neurodegenerative disorders (positive controls) and in traumatic cases (negative controls).<br />Methods: The study design was broadly categorized into meningitis cases, negative controls and positive controls. Further differentiation among the three groups was carried out using Principal Component Analysis (PCA) followed by supervised Partial Least Square Discriminant Analysis (PLS-DA).<br />Results: The statistical analysis of meningitis vs. negative controls using PLS-DA model resulted in R <superscript>2</superscript> of 0.97 and Q <superscript>2</superscript> of 0.85. There was elevation in the levels of ketone bodies, total free amino acids, glutamine, creatine, citrate and choline containing compounds (choline and GPC) in meningitis cases. Similarly, meningitis vs. positive controls resulted in R <superscript>2</superscript> of 0.80 and Q <superscript>2</superscript> of 0.60 and showed elevation in the levels of total free amino acids, glutamine, creatine/creatinine and citrate in the meningitis group. Four cases of HIV were identified by PLS-DA model as well as by clinical investigations.<br />Conclusion: On the basis of metabolic profile it was found that negative control CSF samples are more appropriate for differentiation of meningitis than positive control CSF samples.<br /> (Copyright © 2017 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-3492
Volume :
469
Database :
MEDLINE
Journal :
Clinica chimica acta; international journal of clinical chemistry
Publication Type :
Academic Journal
Accession number :
28315295
Full Text :
https://doi.org/10.1016/j.cca.2017.03.015